For patients, understanding a medical bill can be almost as difficult as navigating the healthcare system itself. Dr. Peter Valenzuela experienced that challenge firsthand, despite spending 20 years working with claims data, billing operations, medical coding, and healthcare administration.
That experience helped lead him to create BillDecoder, a physician-led AI platform designed to help patients better understand their medical bills, identify potential billing errors, and determine what steps they can take next. BillDecoder is also one of the finalists in the 2026 Pitch Elk Grove startup competition, taking place September 3.
In this Startup Story, Dr. Valenzuela shares how his career in medicine and healthcare administration led him into entrepreneurship, why he prioritized product reliability before growth, and what he has learned about validation, compliance, trust, and building the right team.
Note: Responses have been lightly edited for length and clarity.
From Medicine to Entrepreneurship
Tell us a little about yourself. What inspired you to pursue medicine, and how did that eventually lead you into entrepreneurship?
Dr Peter: What pulled me toward medicine in the first place was simple. I wanted to help people on their healthy days and their worst days. What pulled me into administration was the realization that if I really wanted to fix things at scale, I needed to understand how the system itself worked, not just how to treat the patient in front of me.
Entrepreneurship wasn’t really a plan. It came from a very specific, very uncomfortable realization: I’ve spent 20 years reading claims data and working in billing operations from the inside. When I got my own itemized bill in the mail, formatted the way patients actually receive them, it still took real effort to reconcile it. That’s not a me problem; it’s the system routing patients a document it was never designed for them to read. If it takes real effort for someone with my background, everyone else is flying blind.
You have built a successful career leading large healthcare organizations. What made you decide to start BillDecoder, and what problem were you determined to solve?
Dr Peter: I’ve read thousands of claims and billing statements from the administrative side. Even with all of that experience, I still found myself looking at my own bill, trying to figure out whether what I owed was actually what I owed.
That’s when it hit me: the billing system isn’t built for patients. It’s built for coders, billers, and insurers who speak a language patients were never taught.
I decided to build BillDecoder because I was uniquely positioned to close that gap. I wanted to put that expertise into something a patient could use on their phone: upload a bill, get a plain-English explanation, see which charges look wrong and why, and get a dispute letter they can actually send.
Learning to Put Reliability Before Growth
Every founder encounters unexpected obstacles. Looking back, what has been one of your biggest lessons since launching BillDecoder?
Dr Peter: Reliability has to come before growth, even when growth is what everyone wants to talk about. We had a real moment when our bill-analysis pipeline was succeeding just under 70% of the time, not because the AI was wrong, but because real-world bills are messy: multi-page PDFs, phone photos, and corrupted scans. It would have been easy to bolt on referral incentives and push for viral growth on top of that. I made the call to hold off. We treated it as a hard gate: no growth mechanics until the pipeline was reliable, and focused engineering effort on hardening it. We’re now successfully completing well over 92% of analyses.
The lesson I took from that: in a regulated, trust-dependent category like healthcare, a flashy growth number built on a shaky product is worse than no growth number at all. One bad experience with a bill that is not analyzed correctly does more damage to trust than ten missed growth opportunities. Fix the engine before you press the gas.
BillDecoder tackles a problem that affects millions of people. How did you validate that this was a problem worth solving before investing significant time and resources?
Dr Peter: Two ways: my own domain experience, and direct signal from the market.
On the domain side, I didn’t need a market research report to tell me medical billing errors are widespread. I’ve lived inside the systems that produce them for 20 years. I’ve seen how coding mistakes happen, how bundling errors slip through, how insurance denials get miscommunicated to patients. That gave me high conviction going in.
On the validation side, we didn’t skip the work just because I had a strong personal thesis. We built the app, got it live on iOS and Android, and started putting real bills through it. We’ve already surfaced concrete, dollar-specific errors for real users: duplicate charges, unbundled billing codes, cases where a person walked away understanding exactly what was wrong with their bill and what to do about it. We also built relationships with early advisors and investors who work directly in this space, including a clinical advisor who’s also invested in the company, to pressure-test the product from a second angle before we scaled anything.
The honest answer is: conviction got us started, but we’ve been rigorous about only scaling the parts that are actually proving out with real data.
Building in a Regulated Industry
For founders building products in highly regulated industries like healthcare, what advice would you give about balancing innovation with compliance and customer trust?
Dr Peter: Build compliance into the architecture, not onto it. We chose technology that lets us process sensitive medical data through HIPAA-compliant infrastructure from day one because accuracy and compliance mattered more than implementation speed.
Don’t confuse “regulated” with “adversarial.” BillDecoder is a patient literacy tool, not an anti-hospital weapon. Patients trust you because you’re accurate and careful with their data. In healthcare, trust is the whole business.
If you could go back and give yourself one piece of advice before starting BillDecoder, what would it be?
Dr Peter: I’d tell myself that the instinct to chase user numbers, press coverage, and viral mechanics early is strong, but it’s the wrong instinct until your core product consistently delivers on its promise. We eventually built that discipline by holding back growth features until our pipeline crossed a real reliability threshold. I wish I’d set that bar as a non-negotiable from day one rather than discovering it was necessary after the fact.
Also, bring in the right people sooner. Once I had a CTO and the right advisors in place, decisions that used to take me weeks of solo deliberation began happening in days, with better outcomes. I’d tell my earlier self not to wait so long to build that team.
What Comes Next for BillDecoder
Looking ahead, what excites you most about the future of BillDecoder, and what advice would you leave with entrepreneurs who are just beginning their own startup journey?
Dr Peter: What excites me most is the scale of the problem and what a physician-led AI app can now do. A patient can get an expert-level review of their bill in minutes, from their phone. We’re also building toward the employer and broker side of the market, where the same tool that helps one patient can help an entire workforce.
My advice to founders: don’t wait until you feel fully ready, but don’t confuse conviction with validation. Find the thing only you can uniquely see because of your background, then prove it’s real with real users before you scale. And build your team early. Nobody does this alone, and the sooner you accept that, the faster you move.
About BillDecoder
BillDecoder is a physician-led AI platform built to help patients better understand medical bills. Users can upload a bill to receive a plain-English explanation, identify charges that may warrant further review, and generate a dispute letter. The company is also working toward serving employers and brokers, expanding the technology from individual patient use to broader workforce applications.
Founded by Dr. Peter Valenzuela, BillDecoder draws on his 20 years of experience with healthcare administration, claims data, medical coding, and billing operations. The company has focused on building reliability, compliance, and customer trust into its technology as it develops its approach to medical bill analysis.
Wrap Up
Dr. Peter Valenzuela’s journey with BillDecoder shows how industry experience can help founders identify problems worth solving. His story highlights the importance of validating ideas with real users, prioritizing reliability, and building the right team. For early stage founders, his experience is a reminder that expertise can spark an idea, but disciplined execution helps turn it into a business.
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